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Accelerating Innovation and Technological Transformation on a National Scale.

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Developed countries face health system challenges, but innovation adoption is slow. Embedding innovation and leveraging digital technologies like AI are crucial for sustainable, generative healthcare systems.

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Area of Science:

  • Health Services Research
  • Healthcare Management
  • Health Informatics

Background:

  • Developed nations grapple with escalating healthcare costs, workforce shortages, safety issues, and inequities.
  • Progress in transforming health systems has been slow and fragmented, exemplified by unfulfilled recommendations from Canada's healthcare innovation report.
  • The COVID-19 pandemic and financial constraints have intensified existing system pressures.

Purpose of the Study:

  • To analyze the slow adoption of healthcare innovation in developed countries.
  • To highlight the potential of digital technologies, including artificial intelligence (AI), in redesigning healthcare delivery.
  • To advocate for embedding innovation into the core mission of health systems for sustainability and economic development.

Main Methods:

  • Commentary based on analysis of the Canadian healthcare system's experience.
  • Review of challenges in health system transformation and innovation adoption.
  • Exploration of the role of digital technologies and AI in healthcare.

Main Results:

  • Key innovation recommendations remain unfulfilled a decade after their proposal.
  • Digital technology adoption in healthcare is patchy and uncoordinated.
  • Significant opportunities exist to redesign care delivery through AI and other digital tools.

Conclusions:

  • Health systems must integrate innovation as a core mission, linking it with economic development.
  • Clinician- and patient-driven solutions, commercialization, and procurement reform are vital.
  • Sustained national strategies are necessary to ensure healthcare is both sustainable and socially generative.